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New cybernetic framework models cognition via transformations and semantic equivalence

This paper introduces a new framework for understanding cognitive processes from a cybernetic viewpoint. It models cognitive states as evolving elements in a state space, updated through a rule involving internal transformations, interpretative mappings, and semantic equivalence. The authors connect this to dynamical systems and category theory, illustrating its application with a linguistic example of context-dependent interpretation. AI

影响 Introduces a novel theoretical framework for modeling cognitive processes, potentially influencing future AI architectures.

排序理由 The cluster contains a research paper detailing a new theoretical framework for cognitive processes. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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  1. arXiv cs.AI TIER_1 English(EN) · Carlo Cattani, Dioneia Motta Monte-Serrat ·

    A Dynamical Framework for Cognitive Processes Based on Transformations and Semantic Equivalence

    arXiv:2605.23942v1 Announce Type: new Abstract: This paper proposes a structural and dynamical framework for modeling cognitive processes within a cybernetic perspective. Cognitive states are represented as elements of a state space evolving through an iterative update rule of th…